Results 41 to 50 of about 259,250 (296)

Structural validation of oral mucosal tissue using optical coherence tomography [PDF]

, 2012
Background: Optical coherence tomography (OCT) is a non-invasive optical technology using near-infrared light to produce cross-sectional tissue images with lateral resolution.
Al-Delayme, R, Hamdoon, Z, Hopper, C, Jay, A, Jerjes, W, McKenzie, G   +5 more
core   +1 more source

On image search in histopathology

Journal of Pathology Informatics
Pathology images of histopathology can be acquired from camera-mounted microscopes or whole slide scanners. Utilizing similarity calculations to match patients based on these images holds significant potential in research and clinical contexts. Recent advancements in search technologies allow for implicit quantification of tissue morphology across ...
H.R. Tizhoosh, Liron Pantanowitz
openaire   +4 more sources

Classification of colon biopsy samples by spatial analysis of a single spectral band from its hyperspectral cube [PDF]

, 2007
The histopathological analysis of colon biopsy samples is a very important part of screening for colorectal cancer. There is, however, significant inter-observer and even intra-observer variability in the results of such analysis due to its very ...
Masood, Khalid, Rajpoot, Nasir M. (Nasir Mahmood)   +1 more
core  

Multi texture analysis of colorectal cancer continuum using multispectral imagery [PDF]

, 2016
Purpose This paper proposes to characterize the continuum of colorectal cancer (CRC) using multiple texture features extracted from multispectral optical microscopy images.
Bouridane, Ahmed, Chaddad, Ahmad, Desrosiers, Christian, Hassan, Lama, Tanougast, Camel, Toews, Matthew   +5 more
core   +4 more sources

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Radiosensitivity Prediction of Tumor Patient Based on Deep Fusion of Pathological Images and Genomics

Bioengineering
The radiosensitivity of cancer patients determines the efficacy of radiotherapy, and patients with low radiosensitivity cannot benefit from radiotherapy. Therefore, accurately predicting radiosensitivity before treatment is essential for personalized and
Xuecheng Wu, Ruifen Cao, Zhiyong Tan, Pijing Wei, Yansen Su, Chunhou Zheng   +5 more
doaj   +1 more source

Re-identification from histopathology images

Medical Image Analysis
In numerous studies, deep learning algorithms have proven their potential for the analysis of histopathology images, for example, for revealing the subtypes of tumors or the primary origin of metastases. These models require large datasets for training, which must be anonymized to prevent possible patient identity leaks.
Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville   +4 more
openaire   +3 more sources

Outcomes and Surgical Management of Malignant Rhabdoid Tumor of the Kidney: A Report From the Pediatric Surgical Oncology Research Collaborative

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed
Hannah N. Rinehardt, Elisabeth T. Tracy, Anghela Paredes, Catherine Beckhorn, Harold J. Leraas, Joseph Fusco, Katlyn G. McKay, Nelly‐Ange T. Kontchou, Zachary J. Kastenberg, David W. Hoyt, Jonathan Roach, Emily K. Myers, Nicholas G. Cost, Bhargava Mullapudi, Charles R. Marchese, Amanda R. Jensen, Timothy B. Lautz, Michela Carter, Roshni Dasgupta, John Lundstedt, Joseph G. Brungardt, Lindsay Talbot, Andrew M. Davidoff, Andrew J. Murphy, Jennifer H. Aldrink, Sara Mansfield, Nelson Piche, Annie Le‐Nguyen, Dave R. Lal, Brian T. Craig, Jennifer M. Schuh, Barrett P. Cromeens, Sindhu Mannava, Shannon Castle, Adriana Lopez, Kelsey Mello, Joshua Short, Robin T. Petroze, Shay Rajaval, Grace R. Thompson, Peter Mattei, David H. Rothstein, Elizabeth Fialkowski, Kathryn Fowler, Nathan Martchenke, Barrie S. Rich, Richard D. Glick, Erin G. Brown, Kathleen Doyle, Paige Abril, Natashia Seemann, Jacob Davidson, Claire A. Wilson, Hau D. Le, Devashish Joshi, Michael Stellon, Tamer Ahmed, Alexandra Dimmer, Peter F. Ehrlich, Maya Hammoud, Keyonna Williams, Christa N. Grant, Merit Gorgy, Stephanie F. Polites, Julia Debertin, Danielle B. Cameron, Alyssa Stetson, Eugene S. Kim, William G. Lee, Aaron Barkhordar, Mary Austin, Brian A. Coakley, Anastasia Kahan, Joseph T. Murphy, Michael Pitonak, Chloé Boehmer, Marcus M. Malek   +76 more
wiley   +1 more source

Content-Based Histopathological Image Retrieval

Sensors
Feature descriptors in histopathological images are an important challenge for the implementation of Content-Based Image Retrieval (CBIR) systems, an essential tool to support pathologists. Deep learning models like Convolutional Neural Networks and Vision Transformers improve the extraction of these feature descriptors. These models typically generate
Camilo Nuñez-Fernández , Humberto Farias , Mauricio Solar    +2 more
openaire   +3 more sources

Optoacoustic imaging of the breast: correlation with histopathology and histopathologic biomarkers [PDF]

European Radiology, 2019
This study was conducted in order to investigate the role of gray-scale ultrasound (US) and optoacoustic imaging combined with gray-scale ultrasound (OA/US) to better differentiate between breast cancer molecular subtypes.All 67 malignant masses included in the Maestro trial were retrospectively reviewed to compare US and OA/US feature scores and ...
Menezes, G.L.G., Mann, R.M., Meeuwis, C., Bisschops, B., Veltman, J., Lavin, P.T., Vijver, M.J. van de, Pijnappel, R.M.   +7 more
openaire   +5 more sources